Rotor Volgograd vs Krasnodar 2: result 1-0 and analysis
First LeagueRegular Season - 15Kick-off on October 6, 2018 at 01:00 PM (UTC)Volgograd Arena, Volgograd
Full time
What was the result of Rotor Volgograd vs Krasnodar 2?
Rotor Volgograd won 1-0 on October 6, 2018.
Goalscorers
- 66′O. NikolaevRotor Volgograd
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rotor Volgograd have 3 wins, 8 draws and 4 defeats; Krasnodar 2 have 6, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2018 | FC Armavir(away) | 2-2 | First League |
| Sep 23, 2018 | Nizhny Novgorod(home) | 2-1 | First League |
| Sep 19, 2018 | Baltika(away) | 1-1 | First League |
| Sep 15, 2018 | Zenit 2(home) | 1-1 | First League |
| Sep 8, 2018 | Sibir(away) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2018 | Khimki(home) | 4-2 | First League |
| Sep 23, 2018 | Fakel(away) | 0-0 | First League |
| Sep 19, 2018 | Spartak Moscow 2(home) | 0-3 | First League |
| Sep 15, 2018 | Shinnik Yaroslavl(away) | 2-2 | First League |
| Sep 8, 2018 | Avangard Kursk(home) | 0-2 | First League |
How many goals should we expect?
Rotor Volgograd score 1.0 and concede 1.1 goals per match over their last 15; Krasnodar 2 score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rotor Volgograd | 1.0 | 1.1 | 2 | 10/15 | 4/15 |
| Krasnodar 2 | 1.4 | 1.1 | 3 | 9/14 | 6/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Rotor Volgograd | 14 | 5 | 3 | 6 | 22 | 17 | 18 |
A question about Rotor Volgograd vs Krasnodar 2?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy